How can the Maker community help understand the disease course of COVID-19 and develop better treatment decisions? EmotiBit (https://www.emotibit.com/) is a wearable, open source bio-sensor that can capture 16+ streams of data from the body. Including a medical-grade temperature sensor and a pulse/blood-oxygen sensor, it's possible to stream data to any platform and study how COVID-19 affects the body and how to develop critical new intervention markers. As an Adafruit FeatherWing, it's Arduino compatible and has a built-in SD card providing 100% data ownership. We've been developing EmotiBit for the last 2 years and are excited to explore ways that it can help understand and treat COVID-19 and the increasingly connected world in which we live.
What are the problems you aim to help solve with this project?:
We want to democratize sensing (and making sense of) signals from the body. In this the midst of the coronavirus pandemic we want to enable the maker community to help understand the disease course of COVID-19 and develop better treatment decisions. As we look forward into an increasingly connected 21st century we want to enable makers and the open-source community at large to help understand and shape the conversation around bio-metric signals and internal context.
What are some of the major challenges you have encountered and how did you address them?:
The EmotiBit team has a combined 25 years experience sensing signals from the body and developing algorithms to make sense out of those signals. We've had many challenges in the past 2 years boot-strapping EmotiBit (for example, see this blog post http://www.sciartinitiative.org/group-1-nicoletta--sean/week-14-nicoletta-sean). But we believe that sensing signals from the body will be an increasingly important part of our everyday lives and, given the right tools, the maker community will transform the way we see ourselves and make the world a better place.